In: Statistics and Probability
Resistance training is a popular form of conditioning aimed at enhancing sport performance and is widely used among high school, college and professional athletes. A random sample of 270 patients of three age groups (adolescents, young adults and older adults) admitted to the emergency rooms with the injury code “weightlifting” was obtained. These injuries were classified as “accidental” if caused by dropped weight or improper equipment use. Is age and sport injury related?
Age Group |
Accidental |
Not accidental |
Total |
Adolescents |
30 |
10 |
40 |
Young adults |
65 |
90 |
155 |
Older adults |
25 |
50 |
75 |
Total |
120 |
150 |
270 |
a. Set the hypothesis testing Ho and H1 for chi square
b. Use the chi square formula and procedure to solve the problem (as shown in the PPT presentation and textbook pp. 269-70).
c. Discuss the result. What does the result tell us? Is there a significant relationship between age and injury?
a)
Ho: age and sport injury are independent
H1: age and sport injury are related
b )
degree of freedom =(row-1)*(column-1)=(3-1)*(2-1)=2
for 2 df and 0.05 level rejection region >5.991
applying chi square test of independence:
Observed | Oi | accidental | not accidental | Total |
Adolescent | 30 | 10 | 40 | |
Young adults | 65 | 90 | 155 | |
older adults | 25 | 50 | 75 | |
Total | 120 | 150 | 270 | |
Expected | Ei=?row*?column/?total | accidental | not accidental | Total |
Adolescent | 17.7778 | 22.222 | 40 | |
Young adults | 68.889 | 86.111 | 155 | |
older adults | 33.333 | 41.667 | 75 | |
Total | 120 | 150 | 270 | |
chi square | =(Oi-Ei)2/Ei | accidental | not accidental | Total |
Adolescent | 8.403 | 6.722 | 15.125 | |
Young adults | 0.220 | 0.176 | 0.395 | |
older adults | 2.083 | 1.667 | 3.750 | |
Total | 10.706 | 8.565 | 19.270 |
from abvoe as test statistic 19.270 is in rejection region we reject the null hypothesis
c)
as we reject null hypothesis we have sufficient evidence at 0.05 level to conclude that age and sport injury related